Side-by-Side Comparison
Trinity-RFT vs project-based-learning
Compare open source repositories side by side. Stars, forks, code health, licensing, and community growth.
Recorded Stars Comparison
● agentscope-ai/Trinity-RFT (703)
● practical-tutorials/project-based-learning (285.5K)
☆ 703Trinity-RFT stars
☆ 285.5Kproject-based-learning stars
+284.8KDifference
project-based-learningStar Leader (406.1x)
⚖️ Comparison Verdict
Star Popularity
project-based-learning Leads
+284.8K stars (406.1x ratio)
Forks & Derivatives
project-based-learning Leads
36.5K total community forks
Recent Maintenance
Trinity-RFT
Pushed 4d ago
Licensing
Different
Trinity-RFT: Apache-2.0 vs project-based-learning: MIT
Side-by-Side Facts
| Metric | agentscope-ai/Trinity-RFT ↗ | practical-tutorials/project-based-learning ↗ |
|---|---|---|
| Description | Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM). | Curated list of project-based tutorials |
| GitHub Stars | ☆ 703 | ☆ 285,520 |
| Forks | 83 | 36,479 |
| Open Issues | 56 | 257 |
| Main Language | Python | Python |
| License | Apache-2.0 | MIT |
| Last Push | Sep 29, 2026 | Sep 28, 2026 |
| GitHub Source | Open Source ↗ | Open Source ↗ |
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Trinity-RFT Badge
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